Digital surfaces
Threat themes
- Payment Fraud
- Account Takeover
- Supply Chain Compromise
Recommended services
Verified Australia data
Official Australian data gives this sector context. These figures are market-level indicators, not per-company loss estimates or guarantees.
Shopping scam reports and losses
19,662 reports · A$8.6m losses
Shopping scams were the most reported scam type involving financial loss in the period.
- Official source:
- ACCC — Australians report nearly A$260m in losses as shopping scams surge
- Timeframe:
- Jan–Sep 2025
- Scope note:
- Use for e-commerce, marketplace, retail, ticketing and consumer-platform risk context.
Online content as scam contact method
A$122m · 47% of scam losses
Fake websites, ads, social media and mobile apps were the most common initial-contact method and drove 47% of overall scam losses in the period.
- Official source:
- ACCC — Australians report nearly A$260m in losses as shopping scams surge
- Timeframe:
- Jan–Sep 2025
- Scope note:
- Use for brand impersonation, fake storefront, fake app and social-channel exposure context.
Top individual cybercrime types
30% identity · 13% shopping · 10% banking
Top individual reports were identity fraud, online shopping fraud and online banking fraud.
- Official source:
- ASD / ACSC — Annual Cyber Threat Report 2024–25
- Timeframe:
- FY2024–25
- Scope note:
- Use for consumer platforms, marketplaces, mobile banking, payment and identity-risk framing.
Online-based scam growth
Loss reports +31.8% · losses +21%
Reports of online-based scams with a loss increased by 31.8%, and financial losses increased by 21%.
- Official source:
- National Anti-Scam Centre / ACCC — 2025 scam trends
- Timeframe:
- 2025
- Scope note:
- Use for digital platforms, marketplaces, mobile apps, social channels and customer-facing flows.
Likely loss areas
E-commerce and marketplace operators can face fake-storefront abuse, online shopping scams, customer-account takeover, payment disputes, refund abuse, fake ads, compromised social channels and loss of buyer confidence during peak sales periods.
What structured security support changes
Dimension
Visibility
With structured support
Critical websites, apps, payment flows, admin roles, supplier access and logging gaps are mapped before a report, breach notification or customer complaint forces the issue.
Without structured support
Risk is often discovered after a scam report, account takeover, supplier dispute, data breach, DDoS event or vendor review creates pressure.
Dimension
Prioritisation
With structured support
Findings are ranked by business impact, using Australian market data, exposed-surface context and practical remediation sequencing.
Without structured support
Technical findings remain scattered, and teams may fix visible issues while payment, identity, logging or supplier risks remain unresolved.
Dimension
Evidence
With structured support
Leadership receives a clear security file: verified context, exposure notes, priority actions, remediation status and decision-ready language for stakeholders.
Without structured support
When a partner, insurer, client or regulator asks questions, evidence may be incomplete, outdated or spread across email threads and vendor tools.
Dimension
Response readiness
With structured support
Access, backups, logs, vendor contacts and incident notes are prepared so the team can respond faster and with less confusion.
Without structured support
Response starts under pressure, often with unclear ownership, limited logs, unknown third-party dependencies and delayed containment decisions.
Dimension
Cost control
With structured support
Preventive work becomes a scoped operating rhythm: baseline review, targeted hardening, application review and monthly advisory where needed.
Without structured support
Security cost appears during the most expensive moment: fraud, breach notification, downtime, emergency recovery, lost customer trust or failed procurement.
BilgeQor Method
For Australian organisations, BilgeQor turns official cyber, scam and breach context into a practical security file: what is exposed, what matters first, what can be fixed now, and what should become a recurring control.
01
Official context
We frame sector risk using official Australian sources such as ASD, ACCC, OAIC, ASIC, AFP and AIC, without converting public statistics into fake company-level predictions.
02
Exposure mapping
We map websites, apps, portals, payment journeys, admin roles, APIs, supplier access, cloud surfaces, logs and customer-data flows that are relevant to the industry.
03
Impact lens
We connect technical exposure to business impact: fraud, downtime, breach notification, vendor questions, customer trust, procurement blockers and recovery cost.
04
Security file
We deliver a focused decision file with executive summary, priority risks, remediation notes, 14/30/90-day actions and follow-through options where the client needs ongoing support.
This method does not claim to prevent every incident, guarantee compliance, or predict company-specific losses. It gives leadership and delivery teams a clearer, evidence-led way to reduce avoidable risk.